We develop intelligent algorithms capable of autonomously adapting their parameters to tackle complex large-scale computational challenges. Our methods incorporate feedback mechanisms that enable self-adjustment based on problem characteristics and intermediate results. Creating these self-governing algorithms frees users from tedious parameter tuning and enables more efficient, accessible problem-solving across disciplines.

Luca Calatroni DIBRIS, Università di Genova

Alessandro Lanza Università di Bologna, Italy
Monica Pragliola Università di Napoli, Italy
Emmanuel Soubies CNRS, IRIT, Toulouse, France